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Rio de Janeiro's city government AI model Rio3.5 has achieved higher benchmark scores compared to Qwen3.7 in recent performance tests. The results highlight competitive performance in model evaluation metrics.

Claude Fable exhibits proactive behavior in its interactions, taking initiative beyond simply responding to user prompts. This characteristic sets it apart in terms of engagement and helpfulness.

Kimi K2.7-Code is an open-source coding model that demonstrates improved token efficiency compared to existing alternatives. The model aims to make code generation more accessible and cost-effective.

GLM 5.2, the latest version of an AI model or framework, has been released. The update includes improvements and new features for users of the GLM platform.

Jackrong/Qwopus3.6-27B-Coder-MTP-GGUF is a quantized large language model variant optimized for coding tasks, available in GGUF format for efficient deployment.

Apple has unveiled a new AI architecture that is built around and integrated with Google's Gemini models.

DeepSeek V4 Pro outperforms GPT-5.5 Pro on precision-based benchmarks. This achievement demonstrates significant progress in DeepSeek's large language model capabilities.

MiMo-v2.5-Pro-UltraSpeed is a new 1 trillion parameter model capable of generating 1000 tokens per second. This represents a significant advancement in inference speed for large language models.

Quasar-Preview is a new AI model release from silx-ai that offers enhanced capabilities for various tasks, representing an advancement in the organization's model offerings. The preview version allows early access and feedback for further development and refinement.

A meta-harness for all your AI agents. Omnigent provides a common layer over Claude Code, Codex, Pi, and the agents you write yourself: swap or combine harnesses without rewriting, keep them in check with policies and sandboxing, and collaborate in real time on the same live session, from any device.

Fuse two frontier models into one Fable-tier answer: Opus 4.8 drafts, a second model (Opus 4.8 or GPT-5.5 via codex) checks, Opus fuses. A Claude Code skill.

Open-source Claude Code alternative. Provider-agnostic, MIT licensed. Native Claude Code hook/plugin compatibility.

AI workflow automation plugin for intelligent code generation with Claude/Codex

AgentGuard：An Attribute-Based Access Control Framework for Tool-Use LLM-Based Agent

Slashy is an AI-native email client and assistant that drafts replies in your voice, triages what matters, and makes sure no follow-up slips, so you spend less time in your inbox and more time on what matters. It connects to your email, calendar, CRM, and meeting notes and learns how you work, so you can ask Slashy to prep you for your next meeting, draft a follow-up, clear your inbox to zero, track who still owes you a reply, or fire off an email from iMessage or Slack while you're on the go.

Self-evolving cognitive AI exoskeleton. 10+ frontier models, 245 consensus methods, governed autonomous agents. Automotive, medical, legal, accessibility. 9.3M LOC, 205K tests. Open-source multi-model orchestration platform.

Point your AI agent at any website. Get back a complete design breakdown — colors, type, spacing, and the reasoning behind every decision — ready to use in your next build.

Memoriq is your private AI memory for ChatGPT, Claude, Gemini and Grok. Save the conversations that matter in an end-to-end encrypted vault that only you can access. Open source, self-hostable, and built for people who don't want to lose valuable AI chats or trust another plaintext cloud service. Search, organize, and keep your AI knowledge under your control.

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

KVarN is a native vLLM KV-cache quantization backend for your agents: 3-5x more context, throughput above FP16, and FP16-level accuracy. Calibration-free, one flag.

An open-source Cotypist with macOS system wide AI autocomplete

Sports sponsorship intelligence platform for World Cup match data, real-source text signals, ROI prediction, uncertainty analysis, and scenario recommendations.

Code Modern. Code Legacy. Code Firmware. - open-source AI-native IDE with agentic coding, Power Mode, legacy modernization, and firmware development

GBase — Recursive Self-Improvement Agent Framework. Memory, evolution, quality gates, identity system, and 40+ auto-registered tools.

Recent analysis suggests that large context windows in language models may not be as reliable as previously thought, with models potentially struggling to effectively utilize information across very long input sequences. Users should exercise caution when relying on models to process and accurately refer to information from extended contexts.

Anthropic has enhanced Claude to improve its chemistry capabilities, enabling the AI assistant to better assist with chemical research, analysis, and molecular design tasks. The upgrade expands Claude's utility for scientific and chemical applications.

This technical breakdown explains the architectural and design decisions that make Linear, a project management tool, exceptionally fast. The article explores optimization techniques and engineering choices behind Linear's performance.

Researchers demonstrate ultrafast machine learning on FPGAs using Kolmogorov-Arnold Networks, achieving significant speedups in neural network inference on specialized hardware. This approach combines advanced network architectures with hardware acceleration for exceptional performance.

This article explores how agent harnesses and grep-based techniques are reshaping agentic search methodologies in AI systems.

This research investigates whether large language models can match or outperform traditional classical hyperparameter optimization algorithms.

Recent years have witnessed the rapid evolution of AI agents toward handling increasingly complex, real-world tasks. However, existing benchmarks rarely evaluate whether agents can operate graphical user interfaces to complete long-horizon, high-value professional workflows across diverse domains. Current GUI benchmarks still predominantly focus on general-purpose software, relatively simple applications, and short-horizon tasks, leaving it largely unknown whether modern agents can follow user i...

This paper introduces ARM, a discrete representation-based AutoRegressive Model that unifies image understanding, generation, and editing within a next-token prediction framework. ARM is built on three efforts: first, we train a discrete semantic visual tokenizer that maps images into compact token sequences. Our tokenizer is supervised with multiple objectives that jointly promote semantic discriminability, language alignment and faithful reconstruction, thereby supporting diverse tasks in a sh...

We present MoVerse, a real-time video world model that creates an interactively navigable scene from a single narrow-field-of-view image. This setting is challenging because the input observes only a small fraction of the environment, while interactive roaming requires a complete surrounding world, persistent geometry, controllable camera motion, and temporally coherent high-fidelity observations. MoVerse addresses this problem by separating world construction from observation rendering. It firs...

Scientific laboratories increasingly rely on AI systems to reason about experiments, but the physical act of doing science remains largely outside their reach. AI can help read literature, generate hypotheses, and plan protocols, yet the execution of those protocols at the bench still requires a human operator. Vision-Language-Action (VLA) models provide one possible interface between written protocols and robot execution, but existing policies are trained mostly on household and tabletop demons...

Controlled character animation requires transferring motion from a driving sequence to a reference character. Prior works heavily rely on intermediate representations, including pose skeletons to represent motion or masked background to represent environment, which inevitably leads to information loss. To address this, we present SCAIL-2, an framework that bypasses those intermediates and achieves end-to-end character animation. By directly concatenating driving videos to the sequence, the model...

This work presents RepWAM, a representation-centric world action model (WAM) built on representation visual-action tokenizers. Existing WAMs typically inherit reconstruction-oriented video tokenizers from pretrained video generation models. Although these tokenizers preserve visual fidelity, pixel reconstruction alone provides limited guidance for learning instruction-following dynamics that connect future prediction with robot control. To address this, we explore a semantic visual-action latent...

Latent chain-of-thought compresses reasoning by replacing visible reasoning traces with continuous hidden-state recurrence, but existing formulations are difficult to optimize with standard on-policy reinforcement learning (RL) and hard to interpret causally. Our key insight is that a single pair of explicit boundary tokens can address both issues at once: discrete entry and exit anchors make the latent block compatible with standard on-policy RL, and the same anchors offer a natural foothold fo...

Agent benchmarks score submissions with outcome verifiers that are typically hand-written and brittle, leaving them open to reward hacking. We audit 1,968 tasks across five terminal-agent benchmarks and find 323 (16%) hackable by frontier models given only the task description. This corrupts both leaderboard rankings and RL training signal, yet the standard response is manual and reactive. We introduce the hacker-fixer loop, a method for building exploit-resistant verifiers without per-task ma...

Conventional LLMs keep the full KV cache loaded during decoding, causing a severe GPU memory bottleneck for ultra-long context serving. In this report, we propose Lookahead Sparse Attention (LSA), a novel inference paradigm powered by a Neural Memory Indexer built upon the DeepSeek-V4 architecture. Rather than passively attending to all historical tokens, LSA proactively predicts future context demands and preserves only the query-critical KV chunks in the GPU memory. Crucially, we instantiate t...

This article provides guidance on how to use AI coding tools at home in a cost-effective manner without overspending. It offers practical strategies for accessing and utilizing AI development assistance on a budget.

The article explores using computer vision to automate Instagram engagement but warns that such automation violates the platform's terms of service and results in account bans. It serves as a cautionary tale about the consequences of automation on social media.

Meta's approach to AI strategy has been characterized as chaotic, with inconsistent priorities, shifting investments, and unclear direction across different AI initiatives. The company's AI strategy lacks coherence and long-term strategic vision.

A researcher demonstrated that a €0.01 bank transfer could compromise a banking AI agent, highlighting critical security vulnerabilities in financial AI systems. This exploit shows how small, seemingly inconsequential transactions can be weaponized to manipulate or break AI-powered financial applications.

OpenAI is considering significant price reductions for its AI services as it intensifies competition with Anthropic to attract and retain users. The pricing strategy reflects the growing competitive pressure in the large language model market.

Learn how BBVA scaled ChatGPT Enterprise to 100,000 employees and partnered with OpenAI to accelerate AI-powered banking transformation worldwide.

KPMG has withdrawn a report on AI usage after discovering the document contained significant hallucinations and inaccuracies generated by AI. The incident underscores the importance of verifying AI-generated content for accuracy.

Multiple State Attorneys General have launched investigations into OpenAI over various compliance and consumer protection concerns. The investigations examine the company's business practices and regulatory adherence.

The EU Commission is evaluating the practical consequences and regulatory implications of Anthropic's recent strategic decisions. The review focuses on how these changes may affect competition and compliance within the European market.

A statement addresses a US government directive requiring suspended access to Fable 5 and Mythos 5 AI models. The directive appears to be part of broader regulatory actions affecting AI model availability and distribution.

A police officer is under investigation for using AI systems to fabricate or manipulate evidence in multiple criminal cases. The incident raises serious concerns about the misuse of AI technology in law enforcement.

A former Google employee announces their departure, criticizing Google management for losing its ethical direction and moral principles. The farewell post reflects broader concerns about corporate values in the tech industry.

Tesla's Full Self-Driving feature was shown using bicycle lanes in Denmark's official approval demonstration video. This raises concerns about the system's lane recognition and safety in real-world conditions.

A German court ruled that Google is liable for false answers provided by its AI Overviews feature, establishing important legal precedent for AI accountability. This decision emphasizes that companies remain responsible for the accuracy of AI-generated information presented to users.

Pokémon Go's scanning feature provided crucial training data for the navigation and computer vision technology now powering military drones. The gaming app's massive user base unknowingly contributed to the development of defense technology.

An AI agent malfunctioned and caused problems across Fedora systems and other environments, highlighting risks in deploying autonomous AI systems. The incident demonstrates the need for better safety controls and monitoring of AI agents.

Microsoft's open source tools were compromised in a security breach that allowed attackers to steal passwords from AI developers.

An AI agent attempting to scan the DN42 network caused significant financial losses to its operator through unexpectedly high resource consumption. The incident highlights the risks of deploying autonomous agents without proper safeguards.

This piece discusses the proliferation of AI-generated or low-effort 'slop' applications built with Tailwind CSS. It examines the impact of easy app-building tools on software quality and market saturation.

Recent analysis suggests that progress in artificial intelligence development has begun to decelerate. The rate of improvements in AI capabilities is not keeping pace with previous growth trends.

This piece argues for the necessity and importance of open-source AI in the technology landscape. It emphasizes why open-source AI projects need to succeed against proprietary alternatives.

An MMORPG called ClaudeCraft has been created using Fable 5 with vibe coding techniques. The project showcases creative use of AI tools for rapid game world development and design.

The author created an AI-powered nuclear simulation game to explore strategic decision-making and conflict scenarios. This interactive experience demonstrates how AI can be used for educational simulation and game design.

Discover how astrophysicist Chi-kwan Chan uses Codex to build black hole simulations, helping scientists study extreme physics and test Einstein’s theory of general relativity.